A CNN-Transformer Hybrid Approach for Crop Classification Using Multitemporal Multisensor Images

Multitemporal Earth observation capability plays an increasingly important role in crop monitoring. As the frequency of satellite acquisition of remote sensing images becomes higher, how to fully exploit the implicit phenological laws in dense multitemporal data is of increasing importance. In this...

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Bibliographic Details

Published in:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors:	Zhengtao Li, Guokun Chen, Tianxu Zhang
Format:	Article
Language:	English
Published:	IEEE 2020-01-01
Subjects:	Crop classification multitemporal multisensor self-attention transformer
Online Access:	https://ieeexplore.ieee.org/document/8999620/